V YO M EDHĀ The architecture of intelligence
The architecture of intelligence

Intelligence with no ceiling — for cloud and AI infrastructure.

Vyomedha is building the operating system for compute infrastructure — systems that provision, optimize, secure, comply, and keep alive every piece of your cloud and AI stack. Pellid, our first product, is live today.

EntityVyomedha Technologies Pvt Ltd
IncubatediHub, Ahmedabad, Gujarat
Databricks RDS Azure VM EC2 Chat AI Video AI GPT-4o Voice AI ₹ INR OPTIMIZED
Unified Cloud & AI Integrations
AWS Cloud
Azure Cloud
Claude / GPT AI
Sarvam / Krutrim AI
What we believe

Most tools tell you what's wrong. We built the one that acts.

Every cloud and AI bill hides waste. The industry's answer has been a dashboard of red numbers — and the fixing left to you. Vyomedha takes the next step: systems that understand your entire cloud and AI footprint, find the waste, and hand you the exact change to make — why, how much you'll save, the risk, and how to undo it.

Cloud + AI cost in ONE view

Nobody unifies COGS across both. We bring cloud and AI spend into a single, coherent telemetry stream.

AI waste as a real FinOps loop

Detect → recommend with risk tier + undo → prove rupees saved. Not just dashboards, but action.

INR / GST-native billing

AWS Marketplace billing and GST input credit modeling. Global tools are USD-irrational in India.

The Lifecycle

One Platform. Six Pillars.

From provisioning to migration, Vyomedha orchestrates the entire compute lifecycle. A unified architecture that deploys, optimizes, complies, secures, recovers, and migrates — vendor-neutral.

3
AI providers unified in one bill — Claude, GPT, Sarvam
2
Cloud platforms watched side-by-side — AWS & Azure
100%
Recommendations reversible by design. Nothing touches prod without approval.
System 01 · First Product (LIVE)
Pelld Live Demo

An autonomous agent that unifies your cloud and AI spend, finds the waste, and recommends the exact fix — with the rupees, the risk, and the undo.

Cloud Cluster · 64 Nodes
Healthy Leaking Zombie
Hover a node for detailPELLID · WATCHING
Projected 12-Month SpendRun rightsizing to project savings
Projected Annual Reclaim
₹0
Execution Log
[00:01]WATCHPolling cluster telemetry…
AI Signal · Tracked Metrics
Efficient Flow Waste Detected

Each wave represents a model's live request volume over time. The calm mint band indicates healthy traffic; a red spike signifies waste Pellid catches in real-time — a retry storm, a context-bloat loop, or a job routed to an unnecessarily expensive model. Watch each spike flatten back to baseline: that's Pellid intervening before the invoice generates.

ClaudeReasoning
waste caught
0 this session
GPT-4oDrafting
waste caught
0 this session
SarvamIndia-tuned
waste caught
0 this session

Pellid monitors the AI bill identically to the cloud bill — routing each task to the cheapest model that preserves quality, catching retry storms, and severing token waste before it materializes on the invoice. Signals shown are illustrative.

01 Trust before features

We only make money when we save the customer money, and we prove every rupee.

02 Recommend, don't touch

We hand over a reviewable change; the customer applies it. Safety is a feature.

03 Results are the marketing

"They saved us ₹X this year, and I can prove every rupee" is the sentence that spreads.

04 Feedback loop is an engine

Projected vs realized savings tracked to train a recommendation engine on real Indian infrastructure.

Watch Pellid in Action

See the platform. Then see the savings.

A 2-minute walkthrough of how Pellid unifies your cloud and AI bills, surfaces the waste, and hands you the exact fix — with the rupees and the risk attached.

Pellid · Product Tour
2 min · ₹ saved, proven
How it works

A continuous, ambient loop.

Idle

Observing your infrastructure quietly.

01

Idle

Observing cloud & AI, quietly — no noise until something matters.

02

Scanning

Parsing every resource and cost signal across both bills.

03

Analyzing

Isolating actual waste from required spend, defining the safer path.

04

Deploying

Surfacing the exact fix — ₹ saved, risk tier, and the undo.

05

Complete

Upon approval, savings are reconciled against the real invoice.

What it optimizes

The waste, classified.

Cloud · AWS / Azure

  • Idle compute & zombie instances
  • Orphaned storage & unattached disks
  • Over-provisioning & right-sizing gaps
  • Unused reservations & commitment gaps
  • NAT gateway & data-transfer leaks

AI · Claude / GPT / Sarvam

  • Model routing inefficiencies
  • Missing caching & prompt dedup
  • Retry storms & cascading failures
  • Token waste & context bloat
  • Cost per outcome vs cost per token
Trust & proof

We never touch production until we've earned it.

Read-only access first. Always.

Trust is the price of action, and we pay it rupee by rupee.

Every recommendation is reversible.

Safety is a feature, not a limitation. If an action can't be undone, we won't recommend it.

Proven with an audit trail.

Every rupee of savings is proven with an audit trail. Not estimates — proven results with deep links to the source bill.

We recommend, you approve.

Always. We hand over a reviewable change; the customer applies it.

The vision

Optimization is how we get in. Becoming the operating layer of the cloud is where we go.

Show what you spend, across cloud and AI, in one place.

Show where the waste is, and how much can be recovered.

Tell you exactly what to change: why, rupees saved, risk, how to undo.

Generate the change (IaC pull request / prompt) for you to review and apply.

Describe the outcome you want, and the system provisions it safely. The DevOps and FinOps team in one.

Our philosophy

Visibility isn't the answer; action is. But action without trust is dangerous.

So we build systems that earn trust slowly, prove every result, and only then ask for more access. More infrastructure intelligence systems are coming. Vyomedha is a house, not a single product. The architecture supports the full compute infrastructure lifecycle.

Trust before features

We only make money when we save the customer money, and we prove every rupee.

Recommend, don't touch

We hand over a reviewable change; the customer applies it. Safety is a feature.

One by one

Build, get feedback, improve, repeat. No premature complexity. Small team, long horizon.

Who we are

Two builders, one conviction.

Engineers who got tired of tools that point at problems and walk away. Incubated at iHub, Ahmedabad, building in the careful, one-step-at-a-time way infrastructure demands: prove it, earn trust, then earn more. Small team, long horizon.

Harsh Patel

Founder & CEO

Harsh brings direct operational experience with enterprise infrastructure and resilience systems. He has seen firsthand how infrastructure management fails when dependency maps are wrong or stale — the experience that led to the Persistent Environment Graph architecture.

Maulik Kansoda

Co-founder & CTO

Maulik leads the engineering and productization track — building Vyomedha into a real multi-tenant SaaS platform with authentication, RBAC, team management, and live cloud connectors.

Founding Customer Program

Be one of our first 10 customers.

Pellid is live, and we're onboarding a small first wave of customers who want to eliminate cloud and AI waste — and who want to shape the roadmap as we grow.

Slot 01

Direct founder access

Weekly check-ins with Harsh and Maulik. Real conversations, not support tickets. Your feedback goes straight into the product.

Slot 02

Locked-in pricing

Founding customers keep their launch pricing for life. As we grow and pricing changes, your rate stays fixed.

Slot 03

Shape the roadmap

Tell us what matters to your infrastructure. Your priorities move up the queue. This is your chance to build the tool you actually need.

Applications open now · Limited to the first 10

Apply for Early Access
Built for
Fintech Platforms D2C Brands B2B SaaS AI-First Startups Healthcare Tech Logistics & Supply Chain EdTech Enterprise IT
Contact

Building something, or want to talk?

hello@vyomedha.com